cjzhang
Joined 16 years ago
Joined 16 years ago
If you're spending something like 100 bucks and 20 extra hours over three weeks checking out N more cars that don't pan out because {the guy lied about the condition of the car, the guy selling it is really sketchy, other random reasons}, then is it still worth it to save an extra 1-2k?
What I'm trying to ask basically is "but what kind of opportunity costs are involved in these hacks, and when does it stop being viable"?
Don't take this the wrong way but, are you trolling?
EDIT: Also, Mad Men's on Netflix streaming, off the top of my head.
But no, seriously, you should be using a library or something that sanitizes your SQL queries for you. If you aren't constructing the query string yourself, you should be okay.
Really?
In general, women are perfectly intelligent and capable of studying (see: women in premed, women in law, etc, etc).
CS isn't some mystical major that's harder than every other major ever (me, I'm scared of business majors; those guys are cutthroat), and I don't think "women can't commit themselves and women can't study the same way and women don't do research" is really a good explanation for why there are fewer women in CS than there are in premed.
Also, the sample size is crap and the deviation is crap relative to the sample size, so you can't make very many truly meaningful observations from it.
A rule of thumb I read was "Would this be creepy if it happened in real life?", and here you'd be analogous to "a restaurant owner asking a customer how their experience is on their opening day", which is totally normal.
Oh wait, they already had that.
Trying to figure out why green cars are cheaper:
It looks like green cars are mostly from 97 to 2003 in a roughly normal curve, while most other colors are exponential (so mostly from the last couple years instead, and dropping off dramatically once you reach 2005 and older). Not counting purple, which has 8 samples and is therefore mostly useless, hah.